• DocumentCode
    1938622
  • Title

    Curves-on-Surface: A General Shape Comparison Framework

  • Author

    Li, Xin ; He, Ying ; Gu, Xianfeng ; Qin, Hong

  • Author_Institution
    Stony Brook Univ.
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Firstpage
    38
  • Lastpage
    38
  • Abstract
    We develop a new surface matching framework to handle surface comparisons based on the mathematical analysis of curves on surfaces, and propose a unique signature for any closed curve on a surface. The signature describes not only the shape of the curve, but also the intrinsic relationship between the curve and its embedding surface; and furthermore, the signature metric is stable across surfaces sharing similar Riemannian geometry metrics. Based on this theoretical advance, we analyze and align features defined as closed curves on surfaces using their signatures. These curves segment a surface into different regions which are mapped onto canonical domains for the matching purpose. The experimental results are very promising, demonstrating that the curve signatures and the comparison framework are robust and discriminative for the effective shape comparison. Besides its utility in our current framework, we believe the curve signature will also serve as a powerful shape segmentation/mapping tool and can be used to aid in many existing techniques towards effective shape analysis
  • Keywords
    curve fitting; image matching; image segmentation; surface fitting; Riemannian geometry metrics; curves-on-surface; mathematical analysis; shape comparison framework; shape segmentation; surface matching; Biomedical imaging; Geometry; Mathematical analysis; Robustness; Search engines; Shape; Skeleton; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Shape Modeling and Applications, 2006. SMI 2006. IEEE International Conference on
  • Conference_Location
    Matsushima
  • Print_ISBN
    0-7695-2591-1
  • Type

    conf

  • DOI
    10.1109/SMI.2006.8
  • Filename
    1631215